Multi-scale and multi-patch transformer for sandstorm image enhancement

Sandstorm is a meteorological phenomenon common in arid and semi-arid regions. A sandstorm can carry large volumes of sand unexpectedly, which leads to severe color deviations and significantly degraded visibility when an image is taken in such a scenario. However, existing image enhancement methods cannot enhance sandstorm images well due to the challenging degradations and the scarcity of sandstorm training data. In this paper, we propose a Transformer with rotary position embedding to perform sandstorm image enhancement via building multi-scale and multi-patch dependencies. Our key insights in this work are 1) a multi-scale Transformer can globally eliminate the color deviations of sandstorm images via aggregating global information, 2) a multi-patch Transformer can recover local details well via learning the spatial variant degradations, and 3) a U-shape Transformer with rotary position embedding as the core unit of multi-scale and multi-patch Transformer can effectively build the long-range dependencies. We also contribute a real-world Sandstorm Image Enhancement (SIE) dataset including 1,400 sandstorm images with different degrees of degradations and various scenes. Experiments performed on synthetic images and real-world sandstorm images demonstrate that our proposed method not only obtains visually pleasing results but also outperforms state-of-the-art methods qualitatively and quantitatively.     

Korean automatic spacing using pretrained transformer encoder and analysis

Automatic spacing in Korean is used to correct spacing units in a given input sentence. The demand for automatic spacing has been increasing owing to frequent incorrect spacing in recent media, such as the Internet and mobile networks. Therefore, herein, we propose a transformer encoder that reads a sentence bidirectionally and can be pretrained using an out-of-task corpus. Notably, our model exhibited the highest character accuracy (98.42%) among the existing automatic spacing models for Korean. We experimentally validated the effectiveness of bidirectional encoding and pretraining for automatic spacing in Korean. Moreover, we conclude that pretraining is more important than fine-tuning and data size.     

上海市火力发电行业能源计量现状分析

能源计量与节能监测、能源审计、能源统计、能源利用状况分析是用能单位能源管理和节能工作的基础。通过对本市部分火力发电企业的现场调研，针对性地提出改进建议，以期帮助用能单位增强能源计量在节能减排工作中的有效性。     

GIS气体高压开关在阳煤五矿变电站的应用

针对阳煤五矿广场变电站的高压开关老化问题,为了保证安全性,采用了GIS气体的高压绝缘开关进行了改造。在改造后,变电站的安全性得到了显著提高,设备运行可以节省成本200多万元。     

基于W77E58单片机无抖动误差深度测量系统的设计

使用新型W77E58高速单片机并运用先进的鉴相和消抖算法,设计了用于测井深度测量子系统,完全消除了编码器引起的抖动误差,给出该系统硬件的设计方案。系统已成功应用于测井仪中,表明该系统具有很高的测量精度和稳定性。     

220kV丽江变电所注浆加固地基失败原因探讨

由于注浆加固软土层是挤密、劈裂、渗透的复合过程,因而采用传统、单一的渗透注浆理论来计算与实际情况有较大的偏差.把软土体看作遵循Tresca屈服准则的理想弹塑体,同时结合浆液的柱状扩散情况,利用圆筒形扩张理论来计算浆液扩散半径和注浆压力.并以220kV丽江变电所注浆加固地基为例,分析其注浆失败的原因.     

水柏铁路北盘江大桥设计

水柏铁路北盘江大桥主桥桥型为上承式钢管混凝土拱桥，跨度236m，施工所采用的单铰平面转体重量达104000kN。本文介绍该主桥的结构设计和采用的转体施工方法。     

高层建筑电气设计节能途径

针对大型高层建筑用电能耗高的问题,从供电、配电、用电环节着手,提出对大型建筑实施中央空调系统动态变流量节能控制、照明系统节能设计、配电分相智能无功补偿和减少变压器功率损耗等节能措施,提高能源利用率和综合效益,并在实际工程应用中取得显著节能效果.     

基于陀螺仪和码盘的自主定位机器人系统

为实现轮式机器人的自主定位,研究了基于陀螺仪与码盘的机器人自主定位方法,设计并实现了一种基于陀螺仪和码盘的自主定位机器人系统,对其布局安装方式、自主定位方法和校准、初始化流程进行了研究。选用GYROCHIP II型的陀螺仪和2RMHF型编码盘,制作了1：1实物机器人平台对机器人系统进行验证。机器人实际运动验证结果表明,该系统可在短时间内实现高精度的自主定位。     

GB1094.3修订对变压器局部放电测试影响分析

本文中笔者对GB1094.3-2017和GB1094.3-2003两个标准进行了对比梳理,找出二者差异,为后期试验提供相关工作建议。